Treasury issues an AI Lexicon and sector-specific risk management framework to guide responsible AI adoption across financial institutions.

The moment an AI system can read internal systems, trigger workflows, move money, send emails, update records or approve actions, the risk profile changes.

LLM-based agentic AI introduces a variety of new systemic risks only partially addressed by the EU AI Act. Gerhard Schimpf explains how a pragmatic approach to agentic risk management could foster ...

By mirroring California’s approach, New York reinforces a disclosure-driven model that could become the de facto standard for regulating the most powerful artificial intelligence systems.

Artificial Intelligence (AI) is no longer a futuristic concept—it is already embedded in decision-making across finance, ...

Financial services have always adopted automation cautiously, for good reason. Every new layer of intelligence introduced into banking systems has historically been constrained by strong controls, ...

Overview: Businesses must map where AI and IoT systems are used, who owns them, and what risks they introduce.The EU’s AI and IoT rules demand changes in produc ...

The European Union’s Artificial Intelligence Act (AI Act) is the world’s first comprehensive law governing artificial intelligence.[1] While framed as a consumer-safety measure, the Act’s broad reach ...

Exaggerations and unsubstantiated claims pervade debates about the adoption of artificial intelligence (AI) across the government, economy, and society. The hype cuts both ways, with both proponents ...

European banking regulators are intensifying warnings that widespread use of artificial intelligence across the financial sector could expose the banking system to new, systemic vulnerabilities. The ...